Booeshaghi, A. Sina and Min, Kyung Hoi (Joseph) and Gehring, Jase and Pachter, Lior (2022) Quantifying orthogonal barcodes for sequence census assays. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20230322-101653000.21
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Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20230322-101653000.21
Abstract
Barcode-based sequence census assays utilize custom or random oligonucloetide sequences to label various biological features, such as cell-surface proteins or CRISPR perturbations. These assays all rely on barcode quantification, a task that is complicated by barcode design and technical noise. We introduce a modular approach to quantifying barcodes that achieves speed and memory improvements over existing tools. We also introduce a set of quality control metrics, and accompanying tool, for validating barcode designs.
Item Type: | Report or Paper (Discussion Paper) | |||||||||||||||
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Additional Information: | The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. The authors have declared no competing interest. | |||||||||||||||
DOI: | 10.1101/2022.10.09.511501 | |||||||||||||||
Record Number: | CaltechAUTHORS:20230322-101653000.21 | |||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20230322-101653000.21 | |||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||||||||
ID Code: | 120314 | |||||||||||||||
Collection: | CaltechAUTHORS | |||||||||||||||
Deposited By: | George Porter | |||||||||||||||
Deposited On: | 22 Mar 2023 18:07 | |||||||||||||||
Last Modified: | 22 Mar 2023 18:07 |
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